Android based remote fall monitoring and generating location alert

Francis Antony, Pratishtah Sobrun, Sneha Suluru, Niranjana Sampathila

Research output: Contribution to journalArticle

Abstract

The development of a remote fall monitoring system on an android operating system is built for M-Health (mobile healthcare) purposes, for example to monitor people who are epileptic, amputees and the elderly etc. The sensors embedded in the smart phone device can be exploited to perform healthcare monitoring. There is no additional hardware involved other than the device itself, making it a light, powerful, easy to use remote monitoring system. The system remotely monitors the device for any fall and if fall has occurred, it automatically sends an alert message to the data centre along with the location details. The application is easier to use and no additional training is required.The eclipse integrated development environment (IDE) used to develop the application enables the developer to code in java and xml with its various tools. In order to obtain the location of the android user, the code accesses the hardware sensors and the location sensor. The latitude and longitude extracted from the GPS (Global Positioning System) is added to the SMS which is then sent to the data center. Medical assistance is then dispatched to the required location. The inbuilt accelerometer of an android device is accessed for fall detection. An emergency button is also available in case the person requires medical assistance. Pill dosages and doctor appointments are managed and updated by the data center regularly. An ROC (Receiver operating characteristic) curve is plotted in order to fix the optimal threshold for the fall detector system.

Original languageEnglish
Pages (from-to)669-674
Number of pages6
JournalInternational Journal of Applied Engineering Research
Volume11
Issue number1
Publication statusPublished - 01-02-2016

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Monitoring
Sensors
Hardware
Accelerometers
Global positioning system
Detectors
mHealth

All Science Journal Classification (ASJC) codes

  • Engineering(all)

Cite this

Antony, F., Sobrun, P., Suluru, S., & Sampathila, N. (2016). Android based remote fall monitoring and generating location alert. International Journal of Applied Engineering Research, 11(1), 669-674.
Antony, Francis ; Sobrun, Pratishtah ; Suluru, Sneha ; Sampathila, Niranjana. / Android based remote fall monitoring and generating location alert. In: International Journal of Applied Engineering Research. 2016 ; Vol. 11, No. 1. pp. 669-674.
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Antony, F, Sobrun, P, Suluru, S & Sampathila, N 2016, 'Android based remote fall monitoring and generating location alert', International Journal of Applied Engineering Research, vol. 11, no. 1, pp. 669-674.

Android based remote fall monitoring and generating location alert. / Antony, Francis; Sobrun, Pratishtah; Suluru, Sneha; Sampathila, Niranjana.

In: International Journal of Applied Engineering Research, Vol. 11, No. 1, 01.02.2016, p. 669-674.

Research output: Contribution to journalArticle

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